Control Design Strategies for Semi-Active Suspension System

Abstract

Semi-Active Suspension Systems are very important to achieve comfort, ride handling, ground contact of the tyre, road-friendliness and works in a large range of operation. Its use an active dampers and the action of control is very good because of low energy consumption. The force of the damper is regulated according to the operating conditions. Magnetorheological Dampers are commonly used because of his yield resistance, low power, fast response and low cost of production. However, they behave in a non-linear way, following a dynamic of hysteresis so you should give a more sophisticated mathematical treatment. In this paper, we describe the modelling and design of two control strategies for Semi-Active Suspension System. Two control laws will be developed; classical PID and Fuzzy Logic controls law with the simulation and evaluate the stability and performance properties of our controllers in several different scenarios through analysis and simulation simultaneously. The performance of the system is determined by computer simulation in Matlab/ Simulink. The results obtained to compare and prove the effectiveness of these control approaches.

Optimal Control of an Active Suspension System Applying Distributed Parameter Simulation Test

“…So, the modeling and design of two control strategies for the semi-active suspension system were checked, allowing to establish comparison metrics between the techniques used and develop two laws of control, classic PID and Fuzzy Logic control law, with a simulation of the stability and performance properties of our controllers in various scenarios using analysis and simulation simultaneously. System performance is determined by computer simulation in MATLAB/Simulink [5].…”

“…Consequently, active suspension system controllers should be designed and tested in a more realistic simulated environment [3]. Besides, the major studies are based on linear models using adaptive control, the linear quadratic regulator (LQG) and H∞ [4][5][6]. Despite the springs and dampers of the suspension system's nonlinearities, they are usually modeled as linear elements [2].…”